#graphdatabases Suchergebnisse
Introducing the ArangoDB NetworkX Persistence Layer Massive graphs? No problem. ArangoDB scales to handle big data that would overwhelm NetworkX. Learn More :- okt.to/Xo5nGp #GraphDatabases #AI
Neural #GraphDatabases @Michael_Galkin et.al. share what they call a new milestone in graph data management Thesis: neural reasoning maintains high expressiveness, supports complex logical queries like standard graph query languages towardsdatascience.com/neural-graph-d…
New Neo4j Infinigraph architecture "uses sharding to distribute graph’s property data across different members of a cluster. The graph stays logically whole, and applications scale without code changes or manual workarounds. "neo4j.com/press-releases… #graphdatabases
Mark your calendars for June 1st and join us at the Data and Gen AI Nexus event! Ashok Vishwakarma, CTO at Impulsive Web, will discuss "Leveraging Graph Databases for Modern Data Challenges." #DataScience #GraphDatabases #GDGNoida
"We're pushing the absolute limits of what can be done with hardware." –Christos Giotis In this week's Knowledge Bite video, Christos Giotis from @EdinburghUni shares his work on Atlas, a hardware engine for graph databases. Watch below! #KnowledgeGraphs #graphdatabases
"I'm excited about the potential for semantic agents who are able inject semantics into graph operations." –David Hughes In this week's Knowledge Bite video, David Hughes from @EKConsulting shares his thoughts on #semantics, agentic #AI, #graphdatabases, and more. Watch below!
In graph databases, elevating similarity search is vital. A multi-layered indexing approach enhances efficiency by navigating diverse data relationships. Each layer serves as a strategic lens, enabling rapid identification of analogous structures. #GraphDatabases #Indexing
"Working with #graphdatabases has been a game-changer, and Neo4j continues to impress with its power and flexibility." - Nivedita Singh, Neo4j Data Engineer Join the 22,000+ certified devs proving their graph skills! Check out the free online course here👉…
Melbourne Graph DB fans! @DataEngBytes & GraphDB MelMeetup (@neo4j) (May) is ON! ➡️Know how Graph enhances Large Language Models? ➡️Network with fellow enthusiasts! 5:30 PM at Inspire9, Richmond. RSVP: meetup.com/graphdb-melbou… #GraphDatabases #Melbourne #DataEngBytes #Meetup
New graph algorithm just dropped, public endpoints in #AWS Neptune, and more graph database news in this week's Weekly Edge via @gdotv_ltd: gdotv.com/blog/weekly-ed… #graphdatabases #graphanalytics
Introducing the ArangoDB NetworkX Persistence Layer Massive graphs? No problem. ArangoDB scales to handle big data that would overwhelm NetworkX. Learn More :- okt.to/HctPdQ #GraphDatabases #AI
"Leveraging Graph Databases for Fraud Detection in Financial Systems," by Alex Williams, says #GraphDatabases offer a more effective approach than traditional tools to identifying fraudulent financial activities. bit.ly/3ZPeLv7
Introducing Perspectives 13.3: New Kuzu database integration with Guest Speaker Semih Salihoğlu, CEO of Kuzu' is now available on YouTube. See it here: bit.ly/3U0iBgT #Kuzu #graphdatabases #graphvisualization #graphtechnology
The Weekly Edge: #GraphFrames, #Kuzu News-u, Hail Hydra, & More [8 August 2025] by @bwmerkl @gdotv_ltd Catch this 🔥weekly roundup of graph tech news every Friday:gdotv.com/blog/weekly-ed… #graphdatabases #Neo4j #knowledgegraphs
We are excited to partner with #NODES2023, #Neo4j's ONLINE developer conference! On October 26, join us for 24 hours of free live talks. Don't miss out, sign up today! bit.ly/N23-PG #graphdatabases #graphs #datascience #ML #AI #NODES2023
We are at #ConnectedData in London talking about #GraphRAG and #graphdatabases. Meet us! @Connected_Data
Benchmark Battle: ArangoDB vs. Neo4j 💡 Discover how ArangoDB's Graph Analytics Engine (GAE) delivers up to 8x faster performance on graph computation tasks compared to Neo4j! 🔍 Read the full blog - okt.to/lZDBCq #GraphDatabases #Neo4j #DataScience #BenchmarkResults
Explore the world of graph databases and their significance in modern software development. Uncover the power of graph data models with this insightful article: tinyurl.com/22dbv7s6 #GraphDatabases #Databases #technology #softwaredevelopment #NoSQL #Neo4j #AzureCosmosDB…
🚀🧠 Big news from @markrussinovich: Drasi now supports GQL—bringing the first new international DB language since SQL into continuous queries + change-driven systems. 👉 opensource.microsoft.com/blog/2025/10/0… #Drasi #GQL #GraphDatabases #OpenSource #Azure opensource.microsoft.com
The Weekly Edge is your fyp of videos, reads, repos, and more from across the graph technology ecosystem in the past seven-ish days: gdotv.com/blog/weekly-ed… #graphdatabases #Neo4j #GQL
GQL, the new standard query language for #graphdatabases deserves a reference book! amazon.com/Getting-Starte… #graphdatabase #graphanalytics #neo4j #gql #ultipa #google #microsoft @Ultipa_Graph
The Weekly Edge: @msftsecurity launches Sentinel graph, columnar graph databases, a classic Euler proof video from @3blue1brown & more [3 October 2025] Catch up with this week's graph tl;dr: eu1.hubs.ly/H0nycKq0 #cybersecurity #graphdatabases #graphtheory
![gdotv_ltd's tweet image. The Weekly Edge: @msftsecurity launches Sentinel graph, columnar graph databases, a classic Euler proof video from @3blue1brown & more [3 October 2025]
Catch up with this week's graph tl;dr:
eu1.hubs.ly/H0nycKq0
#cybersecurity #graphdatabases #graphtheory](https://pbs.twimg.com/media/G2WNKGNW4AAg_e4.png)
The Weekly Edge: The @GraphCouncil Has Spoken, @memgraphdb 3.5 Arrives, Preventing #FinCrime & More // by @bwmerkl @gdotv_ltd This week’s graph tech tl;dr: gdotv.com/blog/weekly-ed… #graphdatabases #Neo4j #Kuzu #GraphViz
The Weekly Edge: @MicrosoftFabCon announces Graphs in Fabric, catch us (and many others) at @DataDayTexas & More by @bwmerkl @gdotv_ltd Dive into this week’s graph tech tl;dr here: gdotv.com/blog/weekly-ed… #graphanalytics #edtech #graphdatabases
The Weekly Edge: The Weekly Edge: @Neo4j Infinigraph, #GQL on Azure Data Explorer, #GraphRAG at @TencentGlobal & More [12 September 2025] by @bwmerkl @gdotv_ltd Dive into the best graph tech news digest on the internet: gdotv.com/blog/weekly-ed… #graphdatabases #GQL #Neo4j
New graph algorithm just dropped, public endpoints in #AWS Neptune, and more graph database news in this week's Weekly Edge via @gdotv_ltd: gdotv.com/blog/weekly-ed… #graphdatabases #graphanalytics
The Weekly Edge: Public Endpoints in @awscloud Neptune, Agentic #GraphRAG, New Graph Algorithm & More [5 September 2025] by @bwmerkl @gdotv_ltd Dive into this week’s graph tech news mixtape: gdotv.com/blog/weekly-ed… #graphdatabases #graphanalytics #neo4j
"I'm excited about the potential for semantic agents who are able inject semantics into graph operations." –David Hughes In this week's Knowledge Bite video, David Hughes from @EKConsulting shares his thoughts on #semantics, agentic #AI, #graphdatabases, and more. Watch below!
New Neo4j Infinigraph architecture "uses sharding to distribute graph’s property data across different members of a cluster. The graph stays logically whole, and applications scale without code changes or manual workarounds. "neo4j.com/press-releases… #graphdatabases
💡 Transforming raw data into dynamic visual networks--read all about it in our latest blog post. Discover how graph visualization applications boost cybersecurity, infrastructure, and engineering insight. #KnowledgeGraph #graphdatabases #DataExplorat... bit.ly/4gcDMqq
Deep queries, lots of hops Need to ask things like: “Who’s connected to Bob, but not directly, and only through projects tagged with 🦄?” That’s a graph query. SQL will cry. #SQL #SPARQL #GraphDatabases
Soon after ACL conference, a practice informed critique of #GraphDatabases vs #SQL.
why i avoid graph databases the question: "is knowledge graph rag production ready? should we use it?" the answer: after 10 years in ml, i stay away from graph databases. every company i've seen go into the graph world moves back to sql within 4-5 years. the issues are real:…
"We're pushing the absolute limits of what can be done with hardware." –Christos Giotis In this week's Knowledge Bite video, Christos Giotis from @EdinburghUni shares his work on Atlas, a hardware engine for graph databases. Watch below! #KnowledgeGraphs #graphdatabases
Your queries are basically: ‘SELECT * FROM boring_table’ Don’t use a Formula 1 car to drive to the grocery store. #SQL #SPARQL #GraphDatabases
Mark your calendars for June 1st and join us at the Data and Gen AI Nexus event! Ashok Vishwakarma, CTO at Impulsive Web, will discuss "Leveraging Graph Databases for Modern Data Challenges." #DataScience #GraphDatabases #GDGNoida
In graph databases, elevating similarity search is vital. A multi-layered indexing approach enhances efficiency by navigating diverse data relationships. Each layer serves as a strategic lens, enabling rapid identification of analogous structures. #GraphDatabases #Indexing
Introducing the ArangoDB NetworkX Persistence Layer Massive graphs? No problem. ArangoDB scales to handle big data that would overwhelm NetworkX. Learn More :- okt.to/Xo5nGp #GraphDatabases #AI
Melbourne Graph DB fans! @DataEngBytes & GraphDB MelMeetup (@neo4j) (May) is ON! ➡️Know how Graph enhances Large Language Models? ➡️Network with fellow enthusiasts! 5:30 PM at Inspire9, Richmond. RSVP: meetup.com/graphdb-melbou… #GraphDatabases #Melbourne #DataEngBytes #Meetup
We are at #ConnectedData in London talking about #GraphRAG and #graphdatabases. Meet us! @Connected_Data
Introducing the ArangoDB NetworkX Persistence Layer Massive graphs? No problem. ArangoDB scales to handle big data that would overwhelm NetworkX. Learn More :- okt.to/HctPdQ #GraphDatabases #AI
Who uses Neo4j to uncover hidden relationships and patterns? Top 20 US banks, 5 of 5 top Pharmaceuticals, and many many more Fortune 100 companies. 🤩 @emileifrem at #GraphSummit2024 #graphdatabases
"Working with #graphdatabases has been a game-changer, and Neo4j continues to impress with its power and flexibility." - Nivedita Singh, Neo4j Data Engineer Join the 22,000+ certified devs proving their graph skills! Check out the free online course here👉…
New Neo4j Infinigraph architecture "uses sharding to distribute graph’s property data across different members of a cluster. The graph stays logically whole, and applications scale without code changes or manual workarounds. "neo4j.com/press-releases… #graphdatabases
Looking for scalable, fast, and flexible data modeling? #GraphDatabases like #Neo4j & query language #Cypher offer a great solution! From relationship-rich data to complex queries, their intuitive graph-based approach enables efficient data management and analysis. #BigData
Neural #GraphDatabases @Michael_Galkin et.al. share what they call a new milestone in graph data management Thesis: neural reasoning maintains high expressiveness, supports complex logical queries like standard graph query languages towardsdatascience.com/neural-graph-d…
Introducing Perspectives 13.3: New Kuzu database integration with Guest Speaker Semih Salihoğlu, CEO of Kuzu' is now available on YouTube. See it here: bit.ly/3U0iBgT #Kuzu #graphdatabases #graphvisualization #graphtechnology
Discover the synergy between @graphileon, #Neo4j, and ChatGPT as they come together to harness the power of vector search indexes. Gain insights into the seamless integration of #graphdatabases, #vector search, and #GenAI bit.ly/46WElz7
What do fraud detection, supply chain optimization, and real-time recommendations have in common? Pattern matching. Learn how #Cypher + #GraphDatabases make it faster and easier to spot what matters in your data. 👉 bit.ly/45JeXiH #Neo4j #PatternMatching #GenAI
Revolutionizing real-time fraud detection with graph-based AI by Jessica Feng Learn more: hypermode.com/blog/real-time… #frauddetection #AI #graphdatabases
We are excited to partner with #NODES2023, #Neo4j's ONLINE developer conference! On October 26, join us for 24 hours of free live talks. Don't miss out, sign up today! bit.ly/N23-PG #graphdatabases #graphs #datascience #ML #AI #NODES2023
Join us Feb 29, 1PM EST for a panel on Leveraging Graph Databases for Real-time #FraudDetection. Learn techniques to combat fraud, the application of graph data, & how to visualize patterns for real-time detection: ecs.page.link/SSn3Z #Aerospike #GraphDatabases #RealTimeData
Announcing @DgraphLabs support for @Google's Gen AI Toolbox for Databases Read more: buff.ly/3WXwsGN #Dgraph #GenAI #graphdatabases
Struggling to catch complex fraud patterns with traditional tools? #GraphDatabases can help you spot hidden connections, reduce false positives, and strengthen your AWS-native solutions. Grab our free ebook for more info: bit.ly/4lkt0zD @awscloud #Neo4j…
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